Model Comparison
Grok 4.5 vs Jamba 1.5 LargeWhich is better in 2026?
Grok 4.5 significantly outperforms across most benchmarks. Grok 4.5 is 1.2x cheaper per token.
Verdict: Grok 4.5 vs Jamba 1.5 Large — which is better?
Grok 4.5 (by xAI) and Jamba 1.5 Large (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Grok 4.5 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. Grok 4.5 significantly outperforms across most benchmarks.
On price, Grok 4.5 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.5 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Grok 4.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Jamba 1.5 Large if…
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok 4.5 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
Grok 4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4.5 ($2.00/1M tokens) costs the same as Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Grok 4.5 ($6.00/1M tokens) is 1.3x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Grok 4.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.5 accepts 500,000 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Only Jamba 1.5 Large specifies output context (256,000 tokens).
Input Capabilities
Supported data types and modalities
Grok 4.5 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Grok 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.5
Jamba 1.5 Large
License
Usage and distribution terms
Grok 4.5 is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Grok 4.5 was released on 2026-07-16, while Jamba 1.5 Large was released on 2024-08-22.
Grok 4.5 is 23 months newer than Jamba 1.5 Large.
Jul 16, 2026
2 days ago
1.9yr newerAug 22, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Grok 4.5 has a knowledge cutoff of 2026-02-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Grok 4.5 has more recent training data (up to 2026-02-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).
Feb 2026
1.9 yr newerMar 2024
Provider Availability
Grok 4.5 is available from xAI. Jamba 1.5 Large is available from Bedrock, Google.
Grok 4.5
Jamba 1.5 Large
Outputs Comparison
Key Takeaways
Jamba 1.5 Large
View detailsAI21 Labs
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Grok 4.5 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Grok 4.5 vs Jamba 1.5 Large.